Adaptive signal processing
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Optimal combinations of pattern classifiers
Pattern Recognition Letters
Training algorithms for linear text classifiers
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Using a generalized instance set for automatic text categorization
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
An improved boosting algorithm and its application to text categorization
Proceedings of the ninth international conference on Information and knowledge management
A statistical learning learning model of text classification for support vector machines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Neural Network Agents for Learning Semantic Text Classification
Information Retrieval
Combining Multiple Learning Strategies for Effective Cross Validation
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Support vector machines for spam categorization
IEEE Transactions on Neural Networks
Accuracy improvement of automatic text classification based on feature transformation
Proceedings of the 2003 ACM symposium on Document engineering
Web-page classification through summarization
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Hierarchical document categorization with k-NN and concept-based thesauri
Information Processing and Management: an International Journal
Machine learning for Arabic text categorization: Research Articles
Journal of the American Society for Information Science and Technology
Customized classification learning based on query projections
Information Sciences: an International Journal
Noise reduction through summarization for Web-page classification
Information Processing and Management: an International Journal
Improving Automatic Text Classification by Integrated Feature Analysis
IEICE - Transactions on Information and Systems
Hierarchical document categorization with k-NN and concept-based thesauri
Information Processing and Management: an International Journal
International Journal of Computers and Applications
Locally centralizing samples for nearest neighbors
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Local class boundaries for support vector machine
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
Interpretable query projection learning
CIS'04 Proceedings of the First international conference on Computational and Information Science
Exploring query matrix for support pattern based classification learning
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
A new approach for semi-supervised online news classification
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
Ontology-Based similarity between text documents on manifold
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
GA based optimal keyword extraction in an automatic chinese web document classification system
ISPA'07 Proceedings of the 2007 international conference on Frontiers of High Performance Computing and Networking
A generalized cluster centroid based classifier for text categorization
Information Processing and Management: an International Journal
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We propose a new approach to text categorization known as generalized instance set (GIS) algorithm under the framework of generalized instance patterns. Our GIS algorithm unifies the strengths of k-NN and linear classifiers and adapts to characteristics of text categorization problems. It focuses on refining the original instances and constructs a set of generalized instances. We also propose a metamodel framework based on category feature characteristics. It has a metalearning phase which discovers a relationship between category feature characteristics and each component algorithm. Extensive experiments have been conducted on two large-scale document corpora for both GIS and the metamodel. The results demonstrate that both approaches generally achieve promising text categorization performance.